Run
8094422

Run 8094422

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 18-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees74
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size4180
mlr.classif.ranger(9)_sample.fraction0.506286369799636
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2843
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1337.1906
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4593
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6488
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6488
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9284
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4723
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9495
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.9259
UserCPU time millis
1.787
UserCPU time millis testing
0.136
UserCPU time millis training
1.651